An Accurate Classifier for Detecting the Ecosystem of Malicious Application on Online Social Network using MADE

Third-party apps are a major reason for the popularity and addictiveness of Online Social Network. However little is understood about the characteristics of malicious apps and how they operate. Malicious apps are much more likely to share names with other apps, and they typically request fewer permissions than benign apps. We will propose MADE – a Malicious Application Detector and Evaluator that will do two major things. Firstly, we will find the malicious apps often share names with other apps, and they typically request fewer permissions than benign apps. Secondly, leveraging these distinguishing features, we show that MADE can detect malicious apps with certain accuracy. We will also highlight the emergence of appnets and will keep continue to dig deeper.